Today I want to highlight a signal processing application of deep learning. This example, which is from the Signal Processing Toolbox documentation, shows how to classify heartbeat... read more >>

Hello Everyone! It's Johanna, and Steve has allowed me to take over the blog from time to time to talk about deep learning. I'm back for another episode of: “Deep Learning in... read more >>

Hello Everyone! Allow me to quickly introduce myself. My name is Johanna, and Steve has allowed me to take over the blog from time to time to talk about deep learning. Today I’d like to kick... read more >>

Today I want to show you a documentation example that shows how to train a semantic segmentation network using deep learning and the Computer Vision System Toolbox. A semantic segmentation... read more >>

The MathWorks Neural Network Toolbox Team has just posted a new tool to the MATLAB Central File Exchange: the Neural Network Toolbox Converter for ONNX Model Format. ONNX, or Open Neural... read more >>

Earlier this month, the Neural Network Toolbox team submitted a new Deep Learning Network Analyzer tool to the File Exchange. (Note: it requires the R2018a release.) This very useful tool helps you... read more >>

MathWorks shipped our R2018a release last month. As usual (lately, at least), there are many new capabilities related to deep learning. I showed one new capability, visualizing activations in DAG... read more >>

The R2018a release has been available for almost two week now. One of the new features that caught my eye is that computing layer activations has been extended to GoogLeNet and Inception-v3. Today I... read more >>

In my 14-Feb-2018 blog post about creating a simple DAG network, reader Daniel Morris wanted to know if there's a less tedious way, compared to adding layers one at a time, to combine two (or more)... read more >>

Creating a Simple DAG NetworkToday I want to show the basic tools needed to build your own DAG (directed acyclic graph) network for deep learning. I'm going to build this network and train it on our... read more >>